Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead.

IF 3 Q2 GASTROENTEROLOGY & HEPATOLOGY
Therapeutic Advances in Gastrointestinal Endoscopy Pub Date : 2021-07-14 eCollection Date: 2021-01-01 DOI:10.1177/26317745211017809
Suneha Sundaram, Tenzin Choden, Mark C Mattar, Sanjal Desai, Madhav Desai
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引用次数: 8

Abstract

Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review.

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人工智能在炎症性肠病内窥镜检查中的应用:现状和未来的道路。
炎症性肠病是一种复杂的慢性炎症性疾病,在诊断、选择合适的治疗、确定个体反应性和预测未来疾病进程以指导适当的管理方面具有挑战性。人工智能已经在炎症性肠病内窥镜领域进行了研究,在炎症性肠病的不同领域,包括诊断、评估粘膜活性、预测复发和并发症,都有很好的数据。在内窥镜检查中使用人工智能可能是在炎症性肠病护理途径中向精准医学迈出的一步。我们回顾了关于使用人工智能诊断炎症性肠病、严重程度分级、预测复发和不典型增生检测的现有数据。在这篇综述中,我们研究了人工智能增强内窥镜在炎症性肠病护理的各个方面的潜在作用和未来的展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
0.00%
发文量
8
审稿时长
13 weeks
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